A data centric online B2C business are looking to add to their data engineering team within the larger analytics department in order to consolidate data sources and answer requests from business users across departments

THE COMPANY

This firm began as a start up but quickly grew into an industry leader and are now fast approaching 1000 employees. They are very data led as an organisation and it is used for both the development of its product which relies on data but also to influence internal commercial decision making and strategy

THE ROLE

If you were to be successful in your application for this Data Engineer (ETL, Data Modelling, Vertica, AWS, Data Warehousing) your responsibilities would include:

Approach stakeholders across the business (Business Analysts, users and technology team) to establish clear requirements

Building ETL pipelines and Data Modelling in Vertica and design secure solutions to answer requirements including schema design and data integration

Tune existing solutions to improve the business experience and value gained from data

Work with architecture and infrastructure to ensure the safety of the customer data and perform ad hoc analysis as needed

Evaluate tech and software that may add value to the current architecture as well as new data sources that might enrich the data they already have

SKILLS AND EXPERIENCE

In order for your application for the Data Engineer (ETL, Data Modelling, Vertica, AWS, Data Warehousing) role to be successful you will need;

Strong Data Warehousing or Data Engineering background with knowledge of database design, modelling and best practice

Strong ETL experience- ideally in high volume data environments

Experience in multiple database environments is a must (eg MySQL, Vertica, MongoDB or similar)

Exposure to Java and Linux working environments and very strong communication skills and the enthusiasm to deal with multiple stakeholder levels across the business

HOW TO APPLY

If you are interested in this Data Engineer (ETL, Data Modelling, Vertica, AWS, Data Warehousing) role please apply via this site.